ArticlePLoS computational biology2008
Efficient olfactory coding in the pheromone receptor neuron of a moth.
Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 58 citations in OpenAlex.
- Experience-dependent reconfiguration of thermoreceptors regulates neuronal response plasticity.Current biology : CB · 2026Article
- Shared input and recurrency in neural networks for metabolically efficient information transmission.PLoS computational biology · 2024Article
- A reference-based theory of motivation and effort allocation.Psychonomic bulletin & review · 2022Review
- Efficient information coding and degeneracy in the nervous system.Current opinion in neurobiology · 2022Review
- Article
- Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing.Entropy (Basel, Switzerland) · 2021Article
- Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth.Journal of the Royal Society, Interface · 2019Article
- Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations.PLoS computational biology · 2018Article
- Olfactory coding in the turbulent realm.PLoS computational biology · 2017Article
- Coding accuracy on the psychophysical scale.Scientific reports · 2016Article
- Heterogeneity and convergence of olfactory first-order neurons account for the high speed and sensitivity of second-order neurons.PLoS computational biology · 2014Article
- Article
- Article
- Statistical coding and decoding of heartbeat intervals.PloS one · 2011Article
- Modeling the response of a population of olfactory receptor neurons to an odorant.Journal of computational neuroscience · 2009Article
- Computational model of the insect pheromone transduction cascade.PLoS computational biology · 2009Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of coding efficiency holds that sensory neurons are adapted, through both evolutionary and developmental processes, to the statistical characteristics of their natural stimulus. Encouraged by the successful invocation of this principle to predict how neurons encode natural auditory and visual stimuli, we attempted its application to olfactory neurons. The pheromone receptor neuron of the male moth Antheraea polyphemus, for which quantitative properties of both the natural stimulus and the reception processes are available, was selected. We predicted several characteristics that the pheromone plume should possess under the hypothesis that the receptors perform optimally, i.e., transfer as much information on the stimulus per unit time as possible. Our results demonstrate that the statistical characteristics of the predicted stimulus, e.g., the probability distribution function of the stimulus concentration, the spectral density function of the stimulation course, and the intermittency, are in good agreement with those measured experimentally in the field. These results should stimulate further quantitative studies on the evolutionary adaptation of olfactory nervous systems to odorant plumes and on the plume characteristics that are most informative for the 'sniffer'. Both aspects are relevant to the design of olfactory sensors for odour-tracking robots.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.